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A Survey of Structure from Motion
The structure from motion (SfM) problem in computer vision is the problem of recovering the three-dimensional ($3$D) structure of a stationary scene from a set of projective measurements, represented as a collection of two-dimensional ($2$D) images, via estimation of motion of the cameras corresponding to these images.
Robust Camera Location Estimation by Convex Programming
$3$D structure recovery from a collection of $2$D images requires the estimation of the camera locations and orientations, i. e. the camera motion.
Stable Camera Motion Estimation Using Convex Programming
We further identify the implications of parallel rigidity theory for the location estimation problem to be well-posed, and prove exact (in the noiseless case) and stable location recovery results.
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